At Orbitant we are looking for DevOps Engineers (mid
and senior, remote). What is Orbitant? Humanity is living through
its greatest acceleration. This is not a trend; it is a
civilizational inflection point. The companies that will define the
next era are not the ones with the most code, but the ones with the
best judgment about what to build, how to architect it, and why it
matters. Orbitant exists to provide that thrust. We are looking for
engineers who don't just write code. They make the decisions that
determine what to build and why. Our pillars: Solid engineering, no
shortcuts. We build with intent, good practices, and a long-term
vision, designing clean, scalable, and maintainable solutions.
Innovation with common sense. We explore emerging technologies,
analyze them, and incorporate what truly adds value, avoiding
passing trends. Business-oriented technology. We always understand
the why before the how. Every technical decision aligns with
strategic objectives to drive impact and deliver value to the
business. At Orbitant we promote: Teamwork and ownership of your
work Sharing knowledge and learning constantly Flexibility and
freedom to carry out your work day-to-day Push toward a higher
orbit, for clients, for the team, and for yourself Mentoring and
being mentored. Constant growth. Automating and working in an
AI-first way, betting on tools that help us. Enjoying what we do
and feeling proud of the result. What are we looking for? At
Orbitant we're looking for a Senior DevOps Engineer with experience
across different kinds of projects and environments, but above all
with a real appetite to keep growing. Beyond experience, what we
value most is attitude and alignment with our values. We're looking
for people who: Enjoy learning and sharing knowledge. Feel
comfortable communicating with teammates and clients. Collaborate
proactively and aren't afraid to ask questions or propose ideas.
Bring their own ideas instead of waiting for tasks to be assigned.
Go a little further than expected and create real impact. Have
curiosity, a continuous-improvement mindset, and a desire to build
things they're proud of. We're looking for people who don't just
write code, but who understand why we're building it and want to
create real value. We don't hire people for a single project; we
hire people we want to work with long-term. Responsibilities: Among
the main responsibilities you'll take on: Design, deploy and
operate cloud infrastructure managed entirely as code
(Terraform/OpenTofu), following best practices and with a long-term
view. Own the Kubernetes clusters end to end: networking,
autoscaling, node pools, ingress, egress, capacity, cost and
lifecycle. Design and maintain the GitOps deployment model (ArgoCD
or equivalent) and the Helm chart library used by the product
teams. Design and maintain the CI/CD pipelines, including reusable
workflows,



self-hosted runners and authentication without static
credentials. Own the observability platform (Prometheus, Grafana,
Loki or equivalents), define actionable alerts, and lead incident
response and postmortems. Manage platform identity, access and
secrets as code, and harden security in environments with sensitive
data. Build and operate AI infrastructure: GPU inference servers,
model serving for open-source models, and multi-provider inference
routing layers (AI Gateway). Make infrastructure and AI cost
visible and governable: attribution by application and team,
budgets, quotas and continuous optimisation (FinOps). Take part in
designing clean, scalable and maintainable platform architectures
alongside other team members. Reduce day-to-day friction for the
development teams: templates, internal tooling, living
documentation and deployment times. Define platform standards and
conventions, and get them adopted without becoming a bottleneck.
Lead technically and mentor the DevOps team, driving their
professional development. Share knowledge and best practices within
the team and across Orbitant. Propose new ideas, technologies or
process improvements that add real value. Own the platform you put
into production: availability, security, cost and observability.
Requirements: Must-have: Solid experience in DevOps, SRE or
Platform Engineering roles, operating real platforms in production.
Hands-on experience with Kubernetes in production: workloads,
networking, RBAC, autoscaling, persistent storage and
troubleshooting. Strong command of Infrastructure as Code with
Terraform or OpenTofu: modularisation, state management and
multiple environments. Experience with at least one hyperscaler
cloud (Azure, AWS or GCP): networking, identity, secrets
management, managed databases and perimeter security. Experience
with GitOps and declarative deployment (ArgoCD, Flux or
equivalents) and with Helm at the level of writing and maintaining
charts, not just installing them. Experience designing CI/CD
pipelines (GitHub Actions, GitLab CI or similar) and continuous
delivery best practices. Solid fundamentals in Linux, networking
(DNS, TLS, routing, VPN) and containers (Docker, multi-stage
builds, image security). Experience setting up and running
observability (Prometheus, Grafana, Loki or equivalents), defining
actionable alerts rather than noise. Applied security culture:
secrets management, least privilege, RBAC, certificates and
rotation. Scripting and automation skills (Bash, Python or
TypeScript/Node)



to build internal tooling. Interest and good
judgement in AI infrastructure: understanding what serving models
involves, governing inference traffic and controlling its cost.
Experience leading or mentoring other technical people: support,
feedback and professional growth. Ability to work in a team,
communicate clearly and explain technical decisions to
non-technical audiences. Autonomy and judgement to prioritise, with
a platform-owner mindset. An attitude geared towards adding value
and seeking continuous improvement. A desire to learn, to teach
others and to share knowledge. A level of English that allows you
to communicate with international teams and clients. Nice-to-have:
Advanced experience with Azure: AKS, Application Gateway/WAF, Azure
Firewall, Workload Identity, Entra ID, hub-and-spoke architectures
and site-to-site VPN. Experience with IaC management platforms such
as Scalr, Terraform Cloud/Enterprise, Atlantis or similar.
Experience with External Secrets Operator, cert-manager, Gateway
API, KEDA or Argo Rollouts. Experience operating data and messaging
on Kubernetes: RabbitMQ, PostgreSQL, PgBouncer, Redis or vector
databases. Experience with Ansible, Packer and on-premise
infrastructure (virtualisation, bare metal, GPU servers).
Experience serving open-source models in production (vLLM,
llama.cpp, SGLang, TGI, TensorRT-LLM) and with the GPU stack
(NVIDIA drivers, CUDA, GPUs on Kubernetes): quantisation, KV cache,
batching and concurrency/latency tuning. Experience with AI
gateways or inference proxies (LiteLLM, Azure API Management, Kong
AI Gateway, Portkey or similar): multi-provider routing, failover,
rate limiting and cost attribution. Familiarity with the main
providers' APIs (Azure OpenAI, Anthropic, OpenAI) and with LLMOps
practices: LLM observability, OpenTelemetry tracing and cost
control. Experience with hybrid on-premise/cloud inference
architectures and with data residency and sensitivity requirements.
Experience in FinOps and cloud cost optimisation (reservations,
rightsizing, spend visibility). Experience in regulated
environments or with sensitive data and compliance frameworks
(GDPR, ENS, ISO 27001). Experience defining SLOs, error budgets and
SRE practices. Experience with AI, or curiosity to learn and work
with it day to day (Claude Code, Cursor, MCP servers, agents
applied to operations and automation). What we offer: 100% remote
work (based in Spain) Top office in Madrid, drop in whenever you
like Real flexibility Latest-generation MacBook Claude Code licence
Training and mentoring Salary between €33,000 and €53,000 gross per
year Referral bonus Real growth opportunities Being part of a
spectacular team that can't wait for you to join If you think
you're a good fit, don't hesitate to apply, and if you have any
questions or want to kno...

📌 DevOps Engineer (Madrid)
🏢 Orbitant
📍 Madrid